Our paper empirically studies differential privacy and differentially private stochastic gradient descent. Theoretical work producing upper bounds of privacy is extensive [1]}, [2]}, [3]}, [4]}, [5]}, [6]}, [7]}, [8]}, [9]}, [10]}, [4]}, [2]}, [3]}, [14]}.
